
Centralize drone and aerial data into actionable digital twins with AI-powered insights for faster, safer maintenance.
Vendor
Cyberhawk
Company Website
YouTube
iHawk aerial data management platform
iHawk centralizes all your aerial and geospatial data in one intuitive platform. Transform raw imagery into a geolocated digital twin, track asset condition over time, and let AI flag and prioritize defects. Work from a single source of truth, accelerate maintenance decisions, and manage projects at any scale with clarity and confidence.
Aerial inspection and survey data managed from the iHawk platform Cyberhawk unites aerial inspections with geospatial surveys, giving you detailed asset condition data and precise site models in one. That means fewer site visits, faster turnaround, and reliable intelligence to keep projects and operations moving.
Capture high-fidelity data consistently worldwide The value of inspection data hinges on its consistency. iHawk streamlines the entire collection lifecycle. iHawk ensures that high-fidelity aerial and geospatial data (from drones, ground cameras, or third-party sensors) is captured and ingested using standardized, geolocated workflows, regardless of where your asset is in the world. This eliminates data errors and silos at the source. By automatically associating every pixel with its precise location, you gain immediate data integrity and readiness for AI analysis, eliminating wasted time in manual sorting and structuring.
iHawk differentiators
- **A single source of geospatial truth: **When asset data is scattered across systems, visibility suffers. iHawk brings together drone, satellite, helicopter, ground, and IoT sensor data into one geospatial workspace to create a single source of truth. It provides real-world context and live situational awareness, giving operators a unified view of asset health across entire networks.
- **Built-in engineering workflows: **Inspection data only creates value when it leads to action. Designed by engineers, for engineers. iHawk streamlines the drone-to-decision process. Configurable workflows and defect grading systems tailored to asset types turn aerial data into work orders, track repair status, and ensure consistency across teams from the field to the control room.
- **AI-enhanced insight: **Manually reviewing thousands of images slows decisions and risks inconsistencies. iHawk uses AI to accelerate analysis, detecting components and classifying defects in seconds. Engineers can verify, refine, and act on insights instantly, blending automation with expertise to drive faster, more informed decisions.
- **Seamless integration and collaboration: **Disjointed applications and siloed teams can stall progress. iHawk plugs directly into your enterprise ecosystem: EAM, WFM, OMS, and beyond. Its open APIs make global collaboration effortless, ensuring engineers in the field and managers in the office work from the same verified data. No miscommunication. No silos. Just shared clarity.
Features
- Digital Twin Generation: Converts raw imagery into geolocated, map-based asset models.
- AI Defect Detection: Automatically flags defects and prioritizes issues using machine learning.
- Time-Series Comparison: Tracks asset condition changes over time for predictive maintenance.
- Secure Collaboration: Configurable permissions and annotations for team-wide, cloud-based insight.
- Seamless Data Collection: Standardized workflows ingest high-fidelity aerial, ground, or third-party sensor data.